CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

A Survey on Web News Retrieval and Mining

عنوان مقاله: A Survey on Web News Retrieval and Mining
شناسه ملی مقاله: IRANWEB02_062
منتشر شده در دومین کنفرانس بین المللی وب پژوهی در سال 1395
مشخصات نویسندگان مقاله:

Roya Hassanian esfahani - Research Institute for ICT, ACECR Tehran, Iran
Mohammadjavad Kargar - Department of Computer Engineering University of Science and CultureTehran, Iran

خلاصه مقاله:
This article is a review on news retrieval and mining research areas in recent years based on a qualitative approach. It addresses news retrieval and mining in four main categories of News Retrieval and Extraction, News Content Analysis, News Propagation Analysis, and News Visualization. Each indicated category entails various research areas that have been investigated through several studies. This study depicts the immense extent of news retrieval and mining, the interconnected methods, tools, and theoretical foundations as well as the evaluation methods and the results. The study helps to gain a better understanding of news mining research areas.

کلمات کلیدی:
web news mining, news retrieval, knowledge discovery, online news, web mining, data mining

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/481706/